Individual consistency in the learning abilities of honey bees: cognitive specialization within sensory and reinforcement modalities.

The question of whether individuals perform consistently across a variety of cognitive tasks is relevant for studies of comparative cognition. The honey bee (Apis mellifera) is an appropriate model to study cognitive consistency as its learning can be studied in multiple elemental and non-elemental learning tasks. We took advantage of this possibility and studied if the ability of honey bees to learn a simple discrimination correlates with their ability to solve two tasks of higher complexity, reversal learning and negative patterning. We performed four experiments in which we varied the sensory modality of the stimuli (visual or olfactory) and the type (Pavlovian or operant) and complexity (elemental or non-elemental) of conditioning to examine if stable correlated performances could be observed across experiments. Across all experiments, an individual's proficiency to learn the simple discrimination task was positively and significantly correlated with performance in both reversal learning and negative patterning, while the performances in reversal learning and negative patterning were positively, yet not significantly correlated. These results suggest that correlated performances across learning paradigms represent a distinct cognitive characteristic of bees. Further research is necessary to examine if individual cognitive consistency can be found in other insect species as a common characteristic of insect brains.

Fatigue and its relation to general cognition, social cognition and social activity in multiple sclerosis and stroke.

INTRODUCTION: The relationship between fatigue and (socio-)cognitive deficits in neurological diseases has sparked increasing research interest in the past years. So far, findings are inconsistent. Most studies focused on general cognitive functioning in specific disorders, particularly cancer or multiple sclerosis (MS). METHODS: This study aims to examine the relationship between fatigue, social cognition and social activity, also taking into account general cognition, more closely, including a stroke patient group (n = 57), a MS patient group (n = 31) and a healthy control group (n = 20). The participants underwent a comprehensive (socio-)cognitive test battery and completed questionnaires on fatigue and psychopathology which, in addition to fatigue, can also affect (socio-)cognitive performance. RESULTS: In both MS and stroke patients high fatigue scores were observed. Irrespective of aetiology, patients with high and low fatigue did not differ with regard to general cognition and social cognition. However, high fatigue scores were associated with a reduction of social activities in both patient groups. No other significant relationships were observed between fatigue and (socio-)cognitive measures. CONCLUSIONS: Future studies ought to further explore the potentially complex nature of fatigue symptoms and their relationship with (socio-)cognitive performance and social activity in neurological populations.

Longitudinally stable, brain-based predictive models mediate the relationships between childhood cognition and socio-demographic, psychological and genetic factors.

Cognitive abilities are one of the major transdiagnostic domains in the National Institute of Mental Health's Research Domain Criteria (RDoC). Following RDoC's integrative approach, we aimed to develop brain-based predictive models for cognitive abilities that (a) are developmentally stable over years during adolescence and (b) account for the relationships between cognitive abilities and socio-demographic, psychological and genetic factors. For this, we leveraged the unique power of the large-scale, longitudinal data from the Adolescent Brain Cognitive Development (ABCD) study (n ~ 11 k) and combined MRI data across modalities (task-fMRI from three tasks: resting-state fMRI, structural MRI and DTI) using machine-learning. Our brain-based, predictive models for cognitive abilities were stable across 2 years during young adolescence and generalisable to different sites, partially predicting childhood cognition at around 20% of the variance. Moreover, our use of 'opportunistic stacking' allowed the model to handle missing values, reducing the exclusion from around 80% to around 5% of the data. We found fronto-parietal networks during a working-memory task to drive childhood-cognition prediction. The brain-based, predictive models significantly, albeit partially, accounted for variance in childhood cognition due to (1) key socio-demographic and psychological factors (proportion mediated = 18.65% [17.29%-20.12%]) and (2) genetic variation, as reflected by the polygenic score of cognition (proportion mediated = 15.6% [11%-20.7%]). Thus, our brain-based predictive models for cognitive abilities facilitate the development of a robust, transdiagnostic research tool for cognition at the neural level in keeping with the RDoC's integrative framework.

Developmental trajectories of global motion and global form perception from 4 years to adulthood.

Literature on the development of global motion and global form perception demonstrated their asynchronous developmental trajectories. However, former studies have failed to clearly establish the critical period of maturation for these specific abilities. This study aimed to analyze the developmental trajectories of global motion and global form discrimination abilities by controlling for basic visual functions and general cognitive ability and to present the global motion and global form normative scores. A sample of 456 children and adolescents (4-17 years of age) and 76 adults recruited from the Italian and Swedish general population participated in the study. Motion and form perception were evaluated by the motion coherence test and form coherence test, respectively. Raven's matrices were used to assess general cognitive ability, the Lea Hyvärinen chart test was used for full- and low-contrast visual acuity, and the TNO test was used for stereopsis. General cognitive ability and basic visual functions were strongly related to motion and form perception development. Global motion perception had an accelerated maturation compared with global form perception. For motion perception, an analysis of the oblique effect's development showed that it is present at 4 years of age. The standardized scores of global motion and form coherence tests can be used for clinical purposes.

Transdiagnostic validity of the MATRICS Consensus Cognitive Battery across the autism-schizophrenia spectrum.

BACKGROUND: Autism Spectrum Disorder (ASD) and schizophrenia are neurodevelopmental disorders which share substantial overlap in cognitive deficits during adulthood. However, treatment evaluation in ASD and treatment comparisons across ASD and schizophrenia are limited by a dearth of empirical work establishing the validity of a standard cognitive battery across ASD and schizophrenia. Promisingly, the MATRICS Consensus Cognitive Battery (MCCB) has been validated in schizophrenia and encompasses cognitive domains that are impacted in ASD. Thus, this study aimed to establish MCCB's generalizability from schizophrenia to ASD. METHODS: Community-residing adults with schizophrenia (N = 100) and ASD (N = 113) underwent MCCB assessment. Using multigroup confirmatory factor analysis, MCCB's transdiagnostic validity was evaluated by examining whether schizophrenia and ASD demonstrate the same configuration, magnitude, and directionality of relationships within and among measures and their underlying cognitive domains. RESULTS: Across schizophrenia and ASD, the same subsets of MCCB measures inform three cognitive domains: processing speed, attention/working memory, and learning. Except for group means in category fluency, continuous performance, and spatial span, both groups show vastly comparable factor structures and characteristics. CONCLUSIONS: To our knowledge, this study is the first to establish the validity of a standard cognitive battery in adults with ASD and furthermore the first to establish a cognitive battery's comparability across ASD and schizophrenia. Cognitive domain scores can be compared across new samples using weighted sums of MCCB scores resulting from this study. These findings highlight MCCB's applicability to ASD and support its utility for standardizing treatment evaluation of cognitive outcomes across the autism-schizophrenia spectrum.

Predictors of age-related and individual variability in autobiographical memory in childhood.

Development of autobiographical memory is as a gradual process beginning in early childhood and continuing through late adolescence. Substantial attention has been paid to early childhood when first personal memories are formed; less attention has been focused on the flourishing of memories from the late preschool years onward. We addressed this void with a three-year cohort-sequential study of age-related changes in the length, completeness, and coherence of autobiographical narratives by children 4-10 years. We also examined the unique and combined variance in autobiographical narrative explained by children's own language, maternal narrative style, domain-general cognitive abilities, non-autobiographical story recall, and memory-specific skills. There was substantial growth in autobiographical narrative skill across the 4-10-year period. Non-autobiographical story recall was a strong concurrent and cross-lagged predictor for all autobiographical narrative measures. Memory-specific and domain-general cognitive abilities systematically predicted narrative completeness and coherence but not length. Children's language and maternal narrative style did not contribute additional variance when these predictors were considered. The findings highlight that age-related changes in autobiographical memory are the results of combined contributions of a variety of domain-general and domain-specific predictors.

Young children's referent selection is guided by novelty for both words and actions.

Young children are biased to select novel, name-unknown objects as referents of novel labels and to similarly favor novel, action-unknown objects as referents of novel actions. What process underlies these common behaviors? In the case of word learning, children may be driven by a novelty bias favoring novel objects as referents. Our study investigated this bias further by investigating whether novelty also affects children's selection of novel objects when a new action is given. In a pre-exposure session, 40 3- and 4-year-olds were shown eight novel objects for 1 min. In subsequent referent selection trials, children were shown two pre-exposed objects and one super-novel object and either heard a novel name or saw a novel action. The super-novel object was selected significantly more than the pre-exposed objects on both word and action trials. Our data add to the growing literature suggesting that an endogenous attentional bias to novelty plays a role in children's referent selection and demonstrates further parallels between word and action learning.

Reprint of "Young children's referent selection is guided by novelty for both words and actions".

Young children are biased to select novel, name-unknown objects as referents of novel labels and to similarly favor novel, action-unknown objects as referents of novel actions. What process underlies these common behaviors? In the case of word learning, children may be driven by a novelty bias favoring novel objects as referents. Our study investigated this bias further by investigating whether novelty also affects children's selection of novel objects when a new action is given. In a pre-exposure session, 40 3- and 4-year-olds were shown eight novel objects for 1min. In subsequent referent selection trials, children were shown two pre-exposed objects and one super-novel object and either heard a novel name or saw a novel action. The super-novel object was selected significantly more than the pre-exposed objects on both word and action trials. Our data add to the growing literature suggesting that an endogenous attentional bias to novelty plays a role in children's referent selection and demonstrates further parallels between word and action learning.

Physical exercise and cognition in older adults, a scientific approach scanty reported in Latin America and Caribbean populations.

The advancement of public services, including the increased accessibility of health services, has led to a rise in life expectancy globally. As a result, aging populations are becoming more prevalent, raising concerns about cognitive decline. Fortunately, non-pharmacological methods, such as physical exercise, have been shown to mitigate the effects of aging on the brain. In this perspective article, we examined meta-analyses on the impact of physical exercise on cognition in older adults. The results indicate that combined exercise (i.e., aerobic plus strength training), has a significant positive effect on overall cognition and executive function. However, we found a lack of scientific studies on this topic in Latin American and Caribbean countries. Therefore, there is a pressing need for research to identify the feasibility of physical exercise interventions to improve cognitive skills in older adults from these regions.

A behavioural exploration of language aptitude and experience, cognition and more using Graph Analysis.

Language aptitude has recently regained interest in cognitive neuroscience. Traditional language aptitude testing included phonemic coding ability, associative memory, grammatical sensitivity and inductive language learning. Moreover, domain-general cognitive abilities are associated with individual differences in language aptitude, together with factors that have yet to be elucidated. Beyond domain-general cognition, it is also likely that aptitude and experience in domain-specific but non-linguistic fields (e.g. music or numerical processing) influence and are influenced by language aptitude. We investigated some of these relationships in a sample of 152 participants, using exploratory graph analysis, across different levels of regularisation, i.e. sensitivity. We carried out a meta cluster analysis in a second step to identify variables that are robustly grouped together. We discuss the data, as well as their meta-network groupings, at a baseline network sensitivity level, and in two analyses, one including and the other excluding dyslexic readers. Our results show a stable association between language and cognition, and the isolation of multilingual language experience, musicality and literacy. We highlight the necessity of a more comprehensive view of language and of cognition as multivariate systems.

Factor analysis of neuropsychological domains in a preschool clinic.

INTRODUCTION: The clinical practice of preschool neuropsychology assumes that our assessment tools are measuring underlying neuropsychological functions, and that these functions are negatively impacted by early life neurological injury, disease, and disorder. This study hypothesized that general intellectual capacity and specific cognitive skills, both "broad" neuropsychological domains and "specific" subdomains within those broader clusters, would be differentiable in a preschool-age clinical population. METHODS: Using neuropsychological data from 580 children (6 and 71 months) seen for a clinical neuropsychological evaluation in the Preschool and Infant Neuropsychological Testing (PINT) Clinic, exploratory factor analyses (EFA) were conducted. Results: A one-factor model provided a good fit when considering verbal, nonverbal, and adaptive functions. Consideration of one- versus two-factor solutions for broad neuropsychological domains indicated that a 2-factor solution provided a significantly better fit for the data. Factor 1 was defined by motor, language, and nonverbal reasoning abilities; Factor 2 was defined by inhibitory control and attention. Further consideration of specific neuropsychological functions also supported a 2-factor solution. Factor 1 ("thinking") was defined by nonverbal reasoning, receptive language, and expressive language; Factor 2 ("processing") was defined by impulse control, inhibitory control, inattention, visual-motor integration, and visuo-constructional abilities. Motor skills cross-loaded onto both factors. Secondary analyses suggest these models provide the best fit for preschool-aged children with > 70 overall intellectual functioning and no comorbid medical diagnosis. CONCLUSIONS: In a clinical sample of preschool-age children, neuropsychological assessment data appears to assess a general level of intellectual capacity or functioning. Further differentiation between assessing "thinking" (knowledge and reasoning skills) and "processing" (cognitive attention and processing of information) can be considered clinically. Next steps include more recent clinical sample replication, consideration of whether neuropsychological profiles are detectable in the preschool-age range and whether the results of early life assessment are predictive of future functioning.

Domain-specific knowledge and domain-general abilities in children's science problem-solving.

BACKGROUND: Problem-solving in early and middle childhood is of high relevance for cognitive developmental research and educational support. Previous research on science problem-solving has focussed on the process and strategies of children handling challenging tasks, but less on providing insights into the cognitive network that enables science problem-solving. AIMS: In this study, we aimed to investigate whether performance in science problem-solving is mainly determined by domain-specific rule knowledge, by domain-general cognitive abilities or both. METHODS: In our study, 215 6- to 8-year-old children completed a set of three domain-specific rule knowledge tasks and three corresponding problem-solving tasks that were content-coherent, as well as a vocabulary task, and a reasoning task. RESULTS: Correlational and regression analyses revealed a negligible impact of domain-specific rule knowledge on corresponding problem-solving tasks. In contrast, the associations between problem-solving performance in different domains and the associations between problem-solving performance and domain-general abilities (vocabulary and reasoning) were comparably strong. CONCLUSIONS: The findings suggest that science problem-solving in primary school children primarily relies on domain-general cognitive abilities. Implications of these findings are discussed with regard to cognitive theories and early science education.

Adiposity impacts cognitive function in Asian populations: an epidemiological and Mendelian Randomization study.

Background: Obesity and related metabolic disturbances including diabetes, hypertension and hyperlipidemia predict future cognitive decline. Asia has a high prevalence of both obesity and metabolic disease, potentially amplifying the future burden of dementia in the region. We aimed to investigate the impact of adiposity and metabolic risk on cognitive function in Asian populations, using an epidemiological analysis and a two-sample Mendelian Randomization (MR) study. Methods: The Health for Life in Singapore (HELIOS) Study is a population-based cohort of South-East-Asian men and women in Singapore, aged 30-84 years. We analyzed 8769 participants with metabolic and cognitive data collected between 2018 and 2021. Whole-body fat mass was quantified with Dual X-Ray Absorptiometry (DEXA). Cognition was assessed using a computerized cognitive battery. An index of general cognition ' g ' was derived through factor analysis. We tested the relationship of fat mass indices and metabolic measures with ' g ' using regression approaches. We then performed inverse-variance-weighted MR of adiposity and metabolic risk factors on ' g ', using summary statistics for genome-wide association studies of BMI, visceral adipose tissue (VAT), waist-hip-ratio (WHR), blood pressure, HDL cholesterol, triglycerides, fasting glucose, HbA1c, and general cognition. Findings: Participants were 58.9% female, and aged 51.4 (11.3) years. In univariate analysis, all 29 adiposity and metabolic measures assessed were associated with ' g ' at P < 0.05. In multivariable analyses, reduced ' g ' was consistently associated with increased visceral fat mass index and lower HDL cholesterol (P < 0.001), but not with blood pressure, triglycerides, or glycemic indices. The reduction in ' g ' associated with 1SD higher visceral fat, or 1SD lower HDL cholesterol, was equivalent to a 0.7 and 0.9-year increase in chronological age respectively (P < 0.001). Inverse variance MR analyses showed that reduced ' g ' is associated with genetically determined elevation of VAT, BMI and WHR (all P < 0.001). In contrast, MR did not support a causal role for blood pressure, lipid, or glycemic indices on cognition. Interpretation: We show an independent relationship between adiposity and cognition in a multi-ethnic Asian population. MR analyses suggest that both visceral adiposity and raised BMI are likely to be causally linked to cognition. Our findings have important implications for preservation of cognitive health, including further motivation for action to reverse the rising burden of obesity in the Asia-Pacific region. Funding: The Nanyang Technological University-the Lee Kong Chian School of Medicine, National Healthcare Group, National Medical Research Council, Ministry of Education, Singapore.

Frontal Metabolites and Alzheimer's Disease Biomarkers in Healthy Older Women and Women Diagnosed with Mild Cognitive Impairment.

BACKGROUND: Women account for two thirds of the prevalence and incidence of Alzheimer's disease (AD) and mild cognitive impairment (MCI). Evidence suggest that sex may differently influence the expression of proteins amyloid-beta (Aß1-42) and tau, for which early detection is crucial in prevention of the disease. OBJECTIVE: We investigated the effect of aging and cerebrospinal fluid (CSF) levels of Aß1-42 and tau on frontal metabolites measured with proton magnetic resonance spectroscopy (MRS) in a cohort of cognitively normal older women and women with MCI. METHODS: 3T single-voxel MRS was performed on the medial frontal cortex, using Point Resolved Spectroscopy (PRESS) and Mescher-Garwood Point Resolved Spectroscopy (MEGA-PRESS) in 120 women (age range 50-85). CSF samples of Aß1-42 and tau and scores of general cognition were also obtained. RESULTS: Levels of frontal gamma aminobutyric acid (GABA+) were predicted by age, independently of disease and CSF biomarkers. Importantly, levels of GABA+ were reduced in MCI patients. Additionally, we found that levels of N-acetylaspartate relative to myo-inositol (tNAA/mI) predicted cognition in MCI patients only and were not related to CSF biomarkers. CONCLUSION: This study is the first to demonstrate a strong association between frontal GABA+ levels and neurological aging in a sample consisting exclusively of healthy older women with various levels of CSF tau and Aß1-42 and women with MCI. Importantly, our results show no correlation between CSF biomarkers and MRS metabolites in this sample.

The Effects of High-Intensity Functional Training on Cognition in Older Adults with Cognitive Impairment: A Systematic Review.

(1) Background: High-Intensity Functional Training (HIFT) is a new exercise modality that emphasizes multi-joint functional movements adaptable to any fitness level and promotes greater muscle recruitment. Previous studies have evaluated the positive effects of HIFT on mental and cognitive health but have not evaluated it in older people. This study aims to conduct a systematic review of randomized controlled trials assessing the effects of HIFT on general cognition in older adults with cognitive impairment. (2) Methods: Following the PRISMA 2020 guideline, articles that did a high-intensity functional physical exercise intervention on cognitive performance in older adults with mild to moderate cognitive impairment (MMSE > 10) or dementia, aged 55 years or older, published between 2011 and 2021 in five different electronic databases: PubMed, Web of Science, Scopus, CINAHL, and Cochrane plus were included. (3) Results: 7 articles were included, all having general cognition as their primary outcome. All assessed general cognition using the Mini-Mental State Examination, the ADAS-Cog, or both. All studies had at least one HIFT experimental group with a frequency of 2 sessions per week and a variable duration between protocols of 12, 13, 16, and 26 weeks. Two articles showed that a progressive HIFT program improves general cognition, four articles showed no significant changes within or between groups and one article concluded that a HIFT intervention does not slow cognitive decline. (4) Conclusions: Evidence exists of the benefits of HIFT on general cognition in older adults with cognitive impairment, assessed using the MMSE, the ADAS-cog, or both. Two articles that showed improvement in cognitive function used progressive HIFT with 80% RM at 6, 12, and 1 weeks; however, in the other articles, due to the heterogeneity of intervention protocols, measurement time points, and control group activities, mixed results were evidenced

Relationships between frontal metabolites and Alzheimer's disease biomarkers in cognitively normal older adults.

Elevated expression of ß-amyloid (Aß1-42) and tau are considered risk-factors for Alzheimer's disease in healthy older adults. We investigated the effect of aging and cerebrospinal fluid levels of Aß1-42 and tau on 1) frontal metabolites measured with proton magnetic resonance spectroscopy (MRS) and 2) cognition in cognitively normal older adults (n = 144; age range 50-85). Levels of frontal gamma aminobutyric acid (GABA+) and myo-inositol relative to creatine (mI/tCr) were predicted by age. Levels of GABA+ predicted cognitive performance better than mI/tCr. Additionally, we found that frontal levels of n-acetylaspartate relative to creatine (tNAA/tCr) were predicted by levels of t-tau. In cognitively normal older adults, levels of frontal GABA+ and mI/tCr are predicted by aging, with levels of GABA+ decreasing with age and the opposite for mI/tCr. These results suggest that age- and biomarker-related changes in brain metabolites are not only located in the posterior cortex as suggested by previous studies and further demonstrate that MRS is a viable tool in the study of aging and biomarkers associated with pathological aging and Alzheimer's disease.

Meta-Analysis of Cognitive Performance in Neurodevelopmental Disorders during Adulthood: Comparisons between Autism Spectrum Disorder and Schizophrenia on the Wechsler Adult Intelligence Scales.

Autism Spectrum Disorder (ASD) and schizophrenia are neurodevelopmental disorders which show substantial cognitive heterogeneity in adulthood, yet it remains unclear whether cognitive profiles may overlap across these diagnoses. Thus, the aim of this review was to summarize comparisons between ASD and schizophrenia on nonsocial cognition in adulthood. To minimize between-study heterogeneity in a relatively small literature, subtest scaled scores from the Wechsler Adult Intelligence Scale were compared between ASD (N=190) and schizophrenia (N=260) in six studies comprising a total of 450 participants. Meta-analyses of 11 subtests indicated that participants with ASD demonstrated significantly better performance than schizophrenia for visuospatial perception and reasoning and problem solving (Hedge's g=0.636), as well as visual attention and organization (g=0.433-0.475). Participants with ASD also demonstrated better performance than those with schizophrenia for working memory (g=0.334) and language (g=0.275), and generally comparable performance on processing speed and verbal comprehension. These findings were largely stable across age, sex, intelligence quotient (IQ), intellectual disability, scale version, and age- and sex-matching. Overall, ASD and schizophrenia showed striking differences in visuospatial perception and reasoning and problem solving, small differences in working memory and language, and substantial overlap in processing speed and verbal comprehension. These cognitive profiles were generally stable from adolescence to middle adulthood. To our knowledge, this is the first review to summarize comparisons of nonsocial cognition in verbal adults with ASD or schizophrenia. These findings are consistent with and substantially extend prior meta-analyses of case-control studies for ASD and schizophrenia (8, 9), which also suggest that, in comparison to neurotypical controls, ASD demonstrates smaller cognitive impairments than schizophrenia across most cognitive domains, particularly working memory, visuospatial learning/memory, and language. Our findings therefore highlight the importance of comparing cognition transdiagnostically to inform the etiologies of these neurodevelopmental disorders and to refine shared and unique targets for remediating cognition.

Neuropsychological impairment in childhood absence epilepsy: Review of the literature.

AIM: Childhood absence epilepsy (CAE) is a paediatric epilepsy syndrome characterized by typical absence seizures in school age children. Although it is commonly considered to have a good prognosis, with a good response to antiepileptic drugs, recent studies questioned this traditional view of a "benign" disorder, in particular regarding neuropsychological functioning. The aim of this study is to review the neuropsychological involvement in patients affected by CAE. METHODS: A literature search was carried out in PubMed's and Medline's databases for all relevant studies published between 1924 and 2014. The keywords used were neuropsychology, absence seizures, and CAE. Specific review articles, systematic reviews, textbooks and case reports were examined for any further publications. RESULTS: In intellectual functioning, CAE patients seem to perform worse than healthy children, even if their IQ scores fall within the normal range. Similarly, CAE seems to affect verbal skills and learning. Executive functions have been reported to be mildly impaired. Data regarding memory are still conflicting. DISCUSSION: Given the neuropsychological deficits in many CAE patients which significantly affect their quality of life, CAE should not be considered entirely "benign". An early identification of neuropsychological dysfunction in CAE children is essential for appropriate treatment.

Should neuroecologists separate Tinbergen's four questions?

Neuroecologists have been criticized for deriving mechanistic explanations about brains and cognition from functional results. Historically, it appears however that the first functional predictions about adaptive hippocampal specialization for spatial memory of stored food were preceded, not followed, by the mechanistic paradigm of massive modularity that was dominant in the 1990s. More attention is paid nowadays to domain general aspects of cognition and to neural connectivity. Attention is also now given to evo devo principles of brain organization, which suggest conserved routes to evolutionary changes in the brain driven by conserved developmental schedules. Knowledge gained in answering each of Tinbergen's four questions is thus useful in making predictions concerning the other ones. This article is part of a Special Issue entitled: In Honor of Jerry Hogan.